Evidence map›Paper›PMID 40954410›Full record

ReviewUpdates in surgery2025

Preoperative smoking cessation interventions and their effects on smoking abstinence and postoperative outcomes: a systematic review and meta-analysis.

Sultan Alhabdan, Abdalkareem Alashjaai, Yusuff Adebayo Adebisi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Updates in surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sultan AlhabdanAd Diriyah Hospital, Third Health Cluster, Ministry of Health, Riyadh, Saudi Arabia.
Abdalkareem AlashjaaiAd Diriyah Hospital, Third Health Cluster, Ministry of Health, Riyadh, Saudi Arabia.
Yusuff Adebayo AdebisiCollege of Social Sciences, University of Glasgow, Glasgow, UK. y.adebisi.1@research.gla.ac.uk.ORCID http://orcid.org/0000-0002-2381-0984

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smoking is a significant risk factor for postoperative complications, including cardiovascular, pulmonary, and wound-related issues. Pre-operative smoking cessation is widely recommended to mitigate these risks, but the effectiveness of different interventions remains uncertain. This study aims to evaluate the effectiveness of pre-operative smoking cessation interventions in reducing smoking rates and postoperative complications across various surgical settings. A comprehensive search was conducted across databases including Medline/PubMed, Embase, CINAHL, And CENTRAL, up to July 2024, following PRISMA guidelines. Randomized controlled trials (RCTs) assessing the effectiveness of pre-operative smoking cessation interventions were included. Data were extracted on intervention types, smoking cessation outcomes, and postoperative complications. The Cochrane Collaboration tool was used to assess the risk of bias, and a random-effects meta-analysis was performed to pool the results. Certainty of evidence was assessed using the GRADE approach. Out of 9,188 studies identified, 24 met the inclusion criteria, encompassing 4,763 patients. The pooled analysis revealed that pre-operative smoking cessation interventions probably increase the likelihood of smoking cessation before surgery (RR = 1.98, 95% CI: 1.53-2.56; moderate-certainty evidence), although there was heterogeneity among the studies (I

Indexed as

Meta-analysisPostoperative complicationsPre-operative smoking cessationSmoking cessation interventionsSystematic review

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.